While there is wide agreement that physical activity is an important component of a healthy lifestyle, it is unclear how many people adhere to public health recommendations on physical activity. The Physical Activity Guidelines (PAG), published by the CDC, provide guidelines to American adults, but it is difficult to assess compliance with these guidelines. The PAG further complicate adherence assessment by recommending activity to occur in at least 10 minute bouts. To better understand the measurement capabilities of various instruments to quantify activity, and to propose an approach to evaluate activity relative to the PAG, researchers at Iowa State University administered the Physical Activity Measurement Survey (PAMS) to over 1,000 participants in four different Iowa counties. In this paper, we develop a two-part Bayesian measurement error model and apply it to the PAMS data in order to assess compliance to the PAG in the Iowa adult population. The model accurately accounts for the 10 minute bout requirement put forth in the PAG. The measurement error model corrects biased estimates and accounts for day to day variation in activity. The model is also applied to the nationally representative National Health and Nutrition Examination Survey.

翻译：尽管人们普遍认为身体活动是健康生活方式的重要组成部分，但尚不清楚有多少人遵循公共卫生机构对身体活动的建议。美国疾病控制与预防中心（CDC）发布的《身体活动指南》（PAG）为美国成年人提供了指导意见，但评估对这些指南的遵循程度十分困难。PAG通过建议活动至少持续10分钟来进一步增加了遵循评估的复杂性。为更好地理解不同测量工具量化活动的能力，并提出一种评估活动是否达到PAG要求的方法，爱荷华州立大学的研究人员在爱荷华州四个县对超过1000名参与者开展了身体活动测量调查（PAMS）。本文中，我们开发了一个两部分贝叶斯测量误差模型，并将其应用于PAMS数据，以评估爱荷华州成年人群对PAG的遵循情况。该模型准确考虑了PAG提出的10分钟活动时段要求。测量误差模型修正了有偏估计，并考虑了活动量的日间变异。该模型还被应用于具有全国代表性的美国国家健康与营养调查（NHANES）数据。